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notebook_list

Retrieve and display all available notebooks in NotebookLM, with optional control over the number of results returned.

Instructions

List all notebooks.

Args: max_results: Maximum number of notebooks to return (default: 100)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions a default for 'max_results' but doesn't disclose other behavioral traits like pagination, ordering, permissions needed, rate limits, or what happens when no notebooks exist. For a list operation with no annotation coverage, this leaves significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise and well-structured: a clear purpose statement followed by a parameter explanation. Every sentence earns its place with no wasted words, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (single optional parameter) and the presence of an output schema (which handles return values), the description is adequate but minimal. It covers the basics but lacks context about usage scenarios or behavioral details that would help an agent invoke it more effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates by explaining the 'max_results' parameter's purpose and default value. Since there's only one parameter, this adds meaningful context beyond the bare schema, though it doesn't cover edge cases or format details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('all notebooks'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'notebook_query' or 'notebook_get', but it's specific enough to understand what it does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'notebook_query' or 'notebook_get'. The description only states what it does, without context about scenarios where listing all notebooks is preferred over more targeted queries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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